2 of 2 Permanent Geospatial Data Jobs in London

I'm lookout for a Senior Software Developer who enjoys wrangling geospatial data, shaping technical direction, and mentoring junior devs without making them cry (ideally). You’ll be helping design, build, and scale systems that literally protect people and businesses from chaos. You won’t need to wear a cape—but if you have one, that’s … fine too.You’ll also be a key part of aligning tech wizardry with real-world results, working with data scientists, product folks, and the occasional confused stakeholder who doesn’t understand how time zones work.Responsibilities: Lead the design and development of complex features and systems. Bonus points for building things that still work after three updates and one pivot. … scribble on a whiteboard” to “live in production and surprisingly stable.” Mentor other engineers like a wise coding sensei (but with fewer riddles). Collaborate with product, operations, and data teams without resorting to interpretive dance. Refactor legacy code without crying. Or while crying—we don’t judge. Monitor systems like a hawk with a dashboard. Link engineering strategy More ❯

shape the future of real estate technology. Role Responsibilities Architect, build, and optimise scalable ETL pipelines for diverse datasets. Onboard, document, and curate external datasets for internal use. Perform data validation, forensic analysis, and troubleshooting. Deliver high-quality, maintainable Python code and participate in peer reviews. Collaborate with stakeholders and researchers to support analytics and product development. Integrate data from APIs, S3 buckets, and structured/unstructured sources (JSON, CSV, Excel, PDF, Parquet). Join geospatial datasets with external data sources and apply complex transformations. Define validated data schemas and create clear documentation for partners and teams. Explore and evaluate new data engineering tools and technologies. Role Requirements 5+ years' experience in data engineering, analytics, or related roles. Strong proficiency in Python, with demonstrated experience on large-scale projects. Solid understanding of algorithms, data structures, and relational databases. Experience with test-driven development and Git version control. Portfolio of past work (GitHub contributions, open-source, blogs, or demos). Knowledge of data cleansing, validation, and basic statistics. Background in working More ❯